IGN-005 · CUSTOM DEVELOPMENT SERVICE LINE 04 / 04 03 LAYERS · 09 CAPABILITIES
SR. ENGINEERING · NO JUNIORS ON CLIENT WORK

Custom AI, built as a stack - not a demo.

Refined from a critical evaluation of current enterprise AI needs, platform architectures and consulting patterns, our development offerings are designed for relevance, modularity and impact - addressing both business-function needs and infrastructure-level requirements.

[ 01 ] THE STACK

09 CAPABILITIES · 03 LAYERS
L01 APPLICATION User-facing offerings that augment decision-making, productivity and automation.
A-01COPILOT

Enterprise Copilots & Embedded Assistants

Conversational agents embedded in Slack, Teams, Salesforce and enterprise portals - supporting knowledge retrieval, decision-making and productivity tasks.

A-02DOC INTEL

AI-Driven Document Intelligence

Parsing, tagging, summarizing and extracting data from contracts, invoices, claims and reports - using advanced vision models and tuned LLMs.

A-03AGENT FLOW

Multi-Agent Workflow Automation

Coordinated agents executing complex tasks across systems - compliance reviews, customer onboarding, escalation handling and reporting.

A-04INTERNAL

Internal AI Tooling for Business Functions

AI tools for finance, HR, legal and operations - survey summarizers, risk analyzers, internal copilots - that automate tasks and lift internal productivity.

L02 ARCHITECTURE Architecture-level capabilities for scalable, secure and performant AI operations.
B-01PRIVATE LLM

Secure LLM Stack Engineering & Deployment

Private, controllable LLM infrastructure with RAG, containerisation and governance baked in. Ideal for regulated enterprises seeking sovereignty over data, model behavior and cost efficiency.

B-02RAG / DATA

RAG Infrastructure & Data Engineering

Ingestion, chunking, embedding and vector-retrieval pipelines for AI grounding - so LLMs operate with fresh, relevant, domain-specific enterprise knowledge.

B-03SEARCH

Smart Search & Semantic Retrieval Platforms

Powerful search and Q&A over enterprise content, powered by vector databases and LLMs - turning archived knowledge into an instrumented surface area.

L03 TOOLING Tools and frameworks that enhance developer velocity, quality and governance of AI systems.
C-01SAAS

AI-Native SaaS Product Engineering

End-to-end development of AI-powered external products - modular, scalable backends designed for startups and innovation teams. Scalable cloud backends, modular model orchestration and intuitive UIs that turn POCs into production-grade SaaS platforms.

C-02PROMPT OPS

Prompt Operations & Prompt Engineering Frameworks

Reusable prompt templates, chaining logic, testing harnesses, output-evaluation tools and version-controlled catalogs for managing prompts across functions and personas - so product and engineering teams can evolve, version and test prompts at scale.

↙ PHYSICAL INFRASTRUCTURE · CLOUD, ON-PREM OR HYBRID DELIVERY: SENIOR ENGINEERS · EU · UK · LATAM

[ 02 ] ENGAGEMENT MODES

PICK ONE · SCALE LATER
M-01PROJECT

Single-system build

One capability from the stack, kicked off, shipped and handed over. Typical 12–20 weeks, fixed scope.

12–20wkDURATION
M-02PORTFOLIO

Embedded squad

A senior cell embedded into your delivery org, running a portfolio of L01–L03 builds in parallel against a shared roadmap.

2–4 qROLLING ENGAGEMENT
M-03TRANSFER

Build → own → run

We build, your team operates. Knowledge transfer, runbooks and pair-programming baked into the contract from day one.

100%CODE / IP TRANSFERRED

[ 03 ] IN PRACTICE

L01 × L02 · MANUFACTURING
FIELD · F-01

Manufacturing facility implementing AI-driven predictive maintenance.

An L02 RAG + forecasting pipeline feeding an L01 maintenance copilot - the same instrumentation that surfaces failure-mode predictions also documents every decision for the operator on the line.

−41%UNPLANNED DOWNTIME
14wkTO PRODUCTION
3 plantsLIVE
+ A1 + A2 + B1 + B2
CONTACT · IGN-CTA

Spark · your AI transformation.